Senior Software Engineer, Core Engineering
About The Position
You will be part of a core engineering team responsible for designing and building large-scale backend services, high-performance data processing pipelines, and robust storage systems. You bring deep expertise in Python, distributed systems, relational/NoSQL databases, and backend service architectures. You are experienced in building highly available services, optimizing data access patterns, and designing systems that balance performance, reliability, and cost. You can clearly articulate architectural trade-offs, evaluate multiple design approaches, and deliver clean, scalable solutions.
Requirements
- BS/MS in Computer Science, Engineering, or equivalent practical experience
- 8+ years of experience in software engineering with increasing technical responsibilities
- 5+ years of hands-on Python development, with proven experience building production backend systems.
- Strong expertise in distributed backend architectures, microservices, and event-driven systems
- Experience with SQL databases (PostgreSQL, MySQL, or similar) including query optimization, schema design, and scalability.
- Hands-on experience with NoSQL technologies, such as Elasticsearch, MongoDB, Redis, or similar.
- Experience building and deploying solutions on public cloud platforms (AWS, GCP, or Azure).
- Familiarity with workflow orchestration tools such as Prefect, serverless compute, Step Functions, or similar.
- Hands-on experience with Dask for parallel computing, distributed data processing, or scaling Python workloads.
- Knowledge of DevOps, CI/CD, containers (Docker/Kubernetes), security best practices, and automated testing.
- Excellent debugging skills and ability to understand, refactor, and optimize other engineers’ code.
- Strong communication skills and ability to document and defend architectural decisions.
Nice To Haves
- Familiarity with one or more generative AI libraries such as PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face Transformers, or similar frameworks
- Experience using LLMs and embedding providers programmatically, including integrating model/embedding APIs into backend systems
- Hands-on Experience with web technologies or backend frameworks such as FastAPI, Node.js
Responsibilities
- Design, implement, and maintain scalable, robust, and high-performance backend services using Python.
- Architect data-intensive systems that ingest, transform, and serve large structured and unstructured datasets in (near) real time.
- Develop APIs, microservices, workflow pipelines, and internal tools that support mission-critical platform components.
- Own the design and optimization of SQL and NoSQL data schemas, data access patterns, indexing strategies, and performance tuning.
- Recommend and implement improvements to service reliability, efficiency, observability, and cost optimization.
- Design and integrate agentic workflows and AI-driven automation into backend systems, enabling autonomous task orchestration and intelligent system behavior.
- Collaborate with product, data, and revenue teams to build new customer-facing features and internal data capabilities.
- Mentor engineers, conduct code reviews, and guide the team toward engineering excellence.
Benefits
- Opportunity to work at the forefront of AI technology
- Collaborative and innovative work environment
- Competitive salary and benefits package
- Professional development and growth opportunities
- Chance to make a significant impact on the company's success
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
